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| Criterion |  Product Discovery Solution Interview |  Growth A/B Testing |  Decision Making Decision Tree |
|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 30-60 min je Interview | 1-4 Wochen | 30-90 min |
Participantsdifferent | 5-10 Interviews | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Experiment results, Decision log, Learning summary | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ValidationInterviewsPrototype | ExperimentsGrowthAnalyticsValidation | DecisionTreeOptions |
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